Self-Tuning Network Search Algorithms for User Equipment
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Solution Overview
Problem
Current network search algorithms for multi-band, multi-RAT user equipment (UE) are inefficient due to their static nature, leading to prolonged network access times and delays, especially when network operators re-plan or modify their networks, as they require up-to-date information and are time-consuming to design.
Innovation Solution
Implementing a method and system that breaks down network search algorithms into software components or modules, which can be combined in various configurations and executed in different orders using a software framework, allowing UE to dynamically select the optimal access configuration based on geographical location, quality requirements, and operator preferences, enabling efficient access to desired networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static network search algorithms are used in legacy UEs, then the algorithms are simple to implement, but they become inefficient when network operators re-plan or modify their networks, leading to prolonged network access times
Solution Approach 1:
The patent implements dynamic network search algorithms that automatically adapt to changing network conditions. The algorithm continuously monitors network availability and signal strength, dynamically adjusting the search strategy based on real-time conditions. This allows the UE to efficiently access networks even when operators re-plan or modify their networks, resolving the contradiction between simple implementation and adaptability to network changes.
Solution Approach 2:
The patent employs feedback mechanisms where the UE monitors network search results and signal quality, using this information to refine future search algorithms. The system learns from previous search outcomes and automatically adjusts parameters such as search priority and coverage areas, enabling continuous improvement of network access efficiency without requiring manual algorithm redesign.
2Adaptability or versatility
If comprehensive network search algorithms are implemented to support multiple frequency bands and RATs, then the UE can access various networks, but the algorithm design becomes time-consuming and complex
Solution Approach 1:
The patent divides the complex network search algorithm into modular components, each responsible for specific frequency bands or radio access technologies. This segmentation allows the UE to independently manage and optimize search parameters for different networks, reducing overall algorithm complexity while maintaining comprehensive multi-band and multi-RAT support capability.
Solution Approach 2:
The patent creates a universal search framework that can handle multiple frequency bands and RATs through a single integrated algorithm structure. The framework uses common search principles and data structures that work across different network types, eliminating the need for separate specialized algorithms for each band or technology, thus reducing design complexity while maintaining versatility.
3Reliability
If legacy network search algorithms are used in market UEs, then the UEs can operate with current networks, but the algorithms become inefficient when operators modify networks, causing considerable delay
Solution Approach 1:
The patent implements preliminary actions by pre-configuring multiple search parameters and priority lists for different frequency bands and RATs. The algorithm prepares alternative search paths and optimization parameters in advance, enabling the UE to quickly adapt to network changes without time-consuming real-time algorithm redesign, thus reducing access delay while maintaining connection reliability.
Solution Approach 2:
The patent enables the UE to perform self-optimization of its network search algorithm automatically. The system monitors network conditions and self-adjusts search parameters, priority orders, and coverage areas without external intervention. This self-service capability allows legacy UEs to update their search strategies autonomously in response to operator network modifications, eliminating time delays associated with manual algorithm updates while maintaining reliable network connections.
Data Source
AI summary
Systems and methods provide a method for accessing a radiocommunication system. The method includes: selecting one of a plurality of access configurations, wherein each access configuration includes a plurality of software modules; executing the selected one of the plurality of access configurations on a processor of a user equipment (UE); determining a result of the execution of the selected one of the plurality of access configurations; and associating the result of the execution of the selected one of the plurality of access configurations with the selected one of the plurality of access configurations.